Predictive Analytics in Automotive Consumer Behaviour: An Insight into Personal use 4-Wheeler Purchase Decisions

The automobile industry has experienced a tectonic shift as a result of the proliferation of data and the implementation of predictive analytics, which have revolutionised the comprehension of consumer behaviour. This research, “Predictive Analytics in Automotive Consumer Behaviour: An Insight into Personal Use 4-Wheeler Purchase Decisions,” examines the transformative potential of predictive analytics in comprehending customer preferences and purchasing behaviours within the 4 -wheeler automobile industry. The research is motivated by the pressing necessity for automotive marketers and manufacturers to analyse extensive data sets in order to anticipate consumer preferences, enhance product alignment, and optimise sales strategies. The objective is to develop a comprehensive model that employs predictive analytics to identify behavioural patterns, thereby shedding light on critical factors such as economic circumstances, brand reputation, technological features, and post-purchase interactions. This study underscores the potential of predictive analytics to provide actionable information, enabling automobile businesses to adopt solutions that resonate with specific customer segments, thereby enhancing consumer satisfaction and market competitiveness.